Gurucul Named Coolest Threat Detection Vendor for 2017 by CRN

Leading UEBA Vendor Recognized for Pinpointing Threats using Machine
Learning and Behavioral Analytics

March 09, 2017 09:01 AM Eastern Standard Time

LOS ANGELES--(BUSINESS WIRE)--Gurucul, a leader in user and entity
behavior analytics (UEBA) and identity analytics (IdA) for on-premises
and the cloud, today announced it was named one of the 20 Coolest SIEM
And Threat Detection Vendors for 2017 by CRN,
a brand of The Channel Company.
The company is profiled
in CRN’s annual Security 100 ranking.

“Being named one of the coolest threat detection vendors for 2017 by CRN
is further proof of the innovation and revenue generating opportunities
our user and entity behavior analytics (UEBA) platform delivers for the
channel,” said Saryu Nayyar, CEO of Gurucul. “Security oriented service
providers now recognize that identity has become ground zero for most of
today’s largest data breaches. As a result, addressing identity as an
attack surface is emerging as one of their top concerns.”

In the past 12 months, Gurucul has received the following industry
accolades:

Gurucul Risk Analytics (GRA) is a multi-use UEBA platform with an open
architecture that supports a choice of big data for scale, the ability
to ingest virtually any dataset for desired attributes and includes
configurable prepackaged analytics. In addition, Gurucul
STUDIO enables service providers to create custom machine learning
models to meet unique customer requirements without coding and minimal
data science knowledge. GRA ingests and analyzes huge volumes of data
generated when users access and interact with business applications, in
both the data center and the cloud, to generate risk scores, identify
security threats and prevent data breaches. The Gurucul GRA platform has
been successfully deployed by government agencies and Global Fortune 500
companies.

About GuruculGurucul is changing the way enterprises
protect themselves against insider threats, account compromise and data
exfiltration on-premises and in the cloud. The company’s user behavior
analytics and identity access intelligence technology use machine
learning anomaly detection and predictive risk-scoring algorithms to
reduce the attack surface for accounts, unnecessary access rights and
privileges, and to identify, predict and prevent breaches. Gurucul
technology is used globally by organizations to detect insider threats,
cyber fraud, IP theft, external attacks and more. The company is based
in Los Angeles. To learn more, visit http://www.gurucul.com/
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